With many SaaS implementations, data is not isolated to a particular customer but rather is part of the overall application. When it comes to data destruction, a particular challenge is ensuring that all of a customer's data is completely destroyed while not impacting the data of other customers.

SaaS delivers applications managed entirely by the provider. Customers only use the software without managing infrastructure, making it the most convenient but least customizable cloud model.

Shares are used within a cloud environment to prioritize resource allocation when customer requests exceed the available resources. Cloud providers utilize shares by assigning a priority score to each customer and allocating resources to those with the highest scores first. Scoring is a component of shares that determines the actual order in which to allocate resources. Neither weighting nor prioritization is the correct term in this case.

With data anonymization, data is manipulated in such a way so as to prevent the identification of an individual through various data objects, and is often used in conjunction with other concepts such as masking.